Posted today
Top Secret/SCI
Unspecified
Full Scope Polygraph
IT - Data Science
Alexandria, VA (On/Off-Site)
Data Scientist
Candidate must have a TS/SCI security clearance with a Polygraph.
Program Overview: We are ready to hire a senior Data Scientist/ML Engineer focused on building, deploying, and maintaining advanced AI/ML systems, particularly for text analysis (NLP) and predictive mission intelligence.
Day to Day Responsibilities:
Create and apply machine learning capabilities to enrich data.
Determine appropriate approaches to analyze data sets (including statistical analysis).
Maintain existing ML tools.
Develop and expand ML data science tools, future auto-tagging, unsupervised clustering capability.
Develop and deploy ML tools to evaluate analytic tradecraft conformance or other text-based standards, such as confidence and probability.
Maintain code and model documentation sufficient to support design and code reviews; enable efficient deployment of code into operational systems; and address/diagnose issues stemming from code and model outputs.
Develop forecasting and modeling tools that offer diagnostic and predictive insight regarding mission performance and connection to other inputs and variables (e.g. resources, priorities).
Required Skills:
BS (Computer Science, Economics, Mathematics, Statistics, Computer Engineering, Electrical Engineering, Bioinformatics) and 5+ years of data science experience
Experience with AI/ML algorithms (implementing testing/validation approaches to data and targets)
Advanced experience using Python (e.g., PyTorch) to code and test AI/ML algorithms.
Extensive experience with natural language processing (NLP) tools and techniques.
Advanced understanding of descriptive statistics, regression, and data labeling/classification models.
Candidate must have a TS/SCI security clearance with a Polygraph.
Program Overview: We are ready to hire a senior Data Scientist/ML Engineer focused on building, deploying, and maintaining advanced AI/ML systems, particularly for text analysis (NLP) and predictive mission intelligence.
Day to Day Responsibilities:
Create and apply machine learning capabilities to enrich data.
Determine appropriate approaches to analyze data sets (including statistical analysis).
Maintain existing ML tools.
Develop and expand ML data science tools, future auto-tagging, unsupervised clustering capability.
Develop and deploy ML tools to evaluate analytic tradecraft conformance or other text-based standards, such as confidence and probability.
Maintain code and model documentation sufficient to support design and code reviews; enable efficient deployment of code into operational systems; and address/diagnose issues stemming from code and model outputs.
Develop forecasting and modeling tools that offer diagnostic and predictive insight regarding mission performance and connection to other inputs and variables (e.g. resources, priorities).
Required Skills:
BS (Computer Science, Economics, Mathematics, Statistics, Computer Engineering, Electrical Engineering, Bioinformatics) and 5+ years of data science experience
Experience with AI/ML algorithms (implementing testing/validation approaches to data and targets)
Advanced experience using Python (e.g., PyTorch) to code and test AI/ML algorithms.
Extensive experience with natural language processing (NLP) tools and techniques.
Advanced understanding of descriptive statistics, regression, and data labeling/classification models.
group id: 10313966
